Two-stage planning algorithm of electromagnetics scheme for double-winding continuous coil power transformers

Abstract

The invention discloses a novel optimization computation theory and algorithm for double-winding continuous coil power transformers. Optimization computation of a transformer includes two stages; in the first stage, value spaces determined by core diameter and a number of windings is traversed, coil height is used as an auxiliary variable, a standard short-circuit impedance value is used as a known condition, each value space is computed to judge whether a solution space exists or not, and if yes, locally optimal solutions and target function values are computed for the solution space; in the second stage, the locally optimal solutions are used as center points to determine a variation range of a design variable and construct a trust region, and reciprocals of the target function values of the locally optimal solutions are used as trust levels; the trust regions of high trust levels form a trust region set, each trust region in the set is traversed and locally searched to find out all locally optimal solutions, and a globally optimal solution is obtained finally. By making full use of solution space characteristics in transformers, the algorithm is direct, reliable and highly computationally efficient.

Description

technical field [0001] The invention relates to the electromagnetic scheme calculation of a transformer, and proposes a new optimization calculation theory and method for a double-winding continuous coil power transformer. Background technique [0002] The calculation program of the transformer electromagnetic scheme is to select the transformer core diameter D, winding turns W, high and low voltage winding wiring method, high and low voltage winding wire As the design variables, a combination of design variables is called a scheme, assuming a scheme in the calculation, according to the transformer mechanical and insulation structure, calculate the transformer winding size, core size, and transformer short-circuit impedance, no-load loss, load loss and Performance indicators such as high and low voltage winding temperature rise, if these performance indicators meet national standards or user requirements, the solution is called a feasible solution. [0003] In the optimizat...

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Problems solved by technology

In order to avoid losing the global optimal solution, these two algorithms need to set a larger value space during calculation, and then search for the global optimal solution in the value space. Due to the structural characteristics of the transformer, a large number of The infeasible solution makes the calculation efficiency of the constrained pass number method low, and the genetic algorithm partly loses its biological evolutionary thinking, which greatly limits the application of these two algorithms in the transformer optimization calculation.

[0005] The structural characteristics of the transformer determine that the solution space of the transformer is composed of many small areas located in the value space, but it is difficult to directly analyze the solution space of the transformer according to the traditional transformer theory

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